March 2019
Intermediate to advanced
538 pages
13h 38m
English
book
Building Computer Vision Projects with OpenCV 4 and C++
by David Millan Escriva, Prateek Joshi, Vinicius G. Mendonca, Roy Shilkrot
Content preview from Building Computer Vision Projects with OpenCV 4 and C++
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OCR segmentation
First, we will obtain a plate image patch as an input to the OCR segmentation function with an equalized histogram. We then need to apply only a threshold filter and use this threshold image as the input of a Find contours algorithm. We can observe this process in the following image:
This segmentation process is coded as follows:
Mat img_threshold; threshold(input, img_threshold, 60, 255, CV_THRESH_BINARY_INV); if(DEBUG) imshow("Threshold plate", img_threshold); Mat img_contours; img_threshold.copyTo(img_contours); //Find contours of possibles characters vector< vector< Point>> contours; findContours(img_contours, contours, ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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